




"""simple docstring"""






from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


UpperCamelCase__    =      logging.get_logger(__name__)

UpperCamelCase__    =      {
    '''facebook/xlm-roberta-xl''': '''https://huggingface.co/facebook/xlm-roberta-xl/resolve/main/config.json''',
    '''facebook/xlm-roberta-xxl''': '''https://huggingface.co/facebook/xlm-roberta-xxl/resolve/main/config.json''',
    # See all XLM-RoBERTa-XL models at https://huggingface.co/models?filter=xlm-roberta-xl
}




class 	a__      (							_A	):
						snake_case__							   =			'''xlm-roberta-xl'''





						def __init__(				self   :						Any  ,a__   :						str=25_0880  ,a__   :						str=2560  ,a__   :						int=36  ,a__   :						Optional[Any]=32  ,a__   :						str=1_0240  ,a__   :						Union[str, Any]="gelu"  ,a__   :						str=0.1  ,a__   :						List[Any]=0.1  ,a__   :						Optional[Any]=514  ,a__   :						List[str]=1  ,a__   :						List[str]=0.02  ,a__   :						Any=1E-05  ,a__   :						str=1  ,a__   :						Optional[Any]=0  ,a__   :						Dict=2  ,a__   :						List[Any]="absolute"  ,a__   :						List[Any]=True  ,a__   :						List[Any]=None  ,**a__   :						List[Any]  ,)    ->							List[Any]:




											"""simple docstring"""







											super().__init__(pad_token_id=a_  ,bos_token_id=a_  ,eos_token_id=a_  ,**a_)
											_lowerCAmelCase:int						=	vocab_size
											_lowerCAmelCase:Optional[Any]						=	hidden_size
											_lowerCAmelCase:Dict						=	num_hidden_layers
											_lowerCAmelCase:int						=	num_attention_heads
											_lowerCAmelCase:int						=	hidden_act
											_lowerCAmelCase:Optional[int]						=	intermediate_size
											_lowerCAmelCase:Dict						=	hidden_dropout_prob
											_lowerCAmelCase:List[str]						=	attention_probs_dropout_prob
											_lowerCAmelCase:List[Any]						=	max_position_embeddings
											_lowerCAmelCase:List[Any]						=	type_vocab_size
											_lowerCAmelCase:List[Any]						=	initializer_range
											_lowerCAmelCase:Optional[Any]						=	layer_norm_eps
											_lowerCAmelCase:List[str]						=	position_embedding_type
											_lowerCAmelCase:Optional[int]						=	use_cache
											_lowerCAmelCase:Optional[Any]						=	classifier_dropout




class 	a__      (							_A	):





						@property
						def    __UpperCamelCase  (				self   :						List[str])    ->							Dict:




											"""simple docstring"""







											if self.task == "multiple-choice":
																_lowerCAmelCase:str						=	{0: "batch", 1: "choice", 2: "sequence"}
											else:
																_lowerCAmelCase:Optional[Any]						=	{0: "batch", 1: "sequence"}
											return OrderedDict(
											    [
											        ('''input_ids''', dynamic_axis),
											        ('''attention_mask''', dynamic_axis),
											    ])













'''simple docstring'''






import random
from typing import Any






def   __A    (				a_    :	list						):
		for _ in range(len(a_						)						):
				lowerCAmelCase  :     List[Any]       						= random.randint(0   ,len(a_						) - 1						)
				lowerCAmelCase  :     Tuple       						= random.randint(0   ,len(a_						) - 1						)
				lowerCAmelCase						,		lowerCAmelCase  :     Optional[Any]       						= data[b], data[a]
		return data


if __name__ == "__main__":
					lowerCAmelCase									=   [0, 1, 2, 3, 4, 5, 6, 7]
					lowerCAmelCase									=   ["""python""", """says""", """hello""", """!"""]
					print("""Fisher-Yates Shuffle:""")
					print("""List""", integers, strings)
					print("""FY Shuffle""", fisher_yates_shuffle(integers), fisher_yates_shuffle(strings))



